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  • Application and computation of likelihood methods for regression with measurement error

    Creator:
    Higdon, Roger
    Abstract:
    This thesis advocates the use of maximum likelihood analysis for generalized regression models with measurement error in a single explanatory variable. This will be done first by presenting a computational algorithm and the numerical details for carrying out this algorithm on a wide variety of models. The computational methods will...
    Resource Type:
    Dissertation
    Full Text:
    computational methods will be based on the EM algorithm in conjunction with the use of Gauss-Hermite quadrature